| - | Automatically recognizing an action, a gesture, an activity in a video is a major issue in computer vision, for automatic video surveillance, human-computer interaction or indexing databases videos. For over ten years, many approaches have been introduced but a reliable application in real conditions remains a challenging. To demonstrate the generic nature of the proposed approach and study two different scales, two applications will be covered: |
+ | Automatically recognizing an action, a gesture, an activity in a video is a major issue in computer vision, for automatic video surveillance, human-computer interaction or videos indexing. For over ten years, many approaches have been introduced but a reliable application in real conditions remains challenging. To demonstrate the generic nature of the proposed approach and study two different scales, two applications will be covered: |
| | (1) video surveillance : the aim is to identify and automatically save events and activities visible in a video and detect any abnormal events. It is a difficult problem because of the diversity of events, the variability in appearance and also the diversity of the meaning of the concept of abnormality. | | (1) video surveillance : the aim is to identify and automatically save events and activities visible in a video and detect any abnormal events. It is a difficult problem because of the diversity of events, the variability in appearance and also the diversity of the meaning of the concept of abnormality. |
| | (2) human-machine interaction: simple actions (selection, moving a message, change viewing options, zoom, scroll) to complex (eg a gesture for a shortcut to a application, writing, elements of sign language) | | (2) human-machine interaction: simple actions (selection, moving a message, change viewing options, zoom, scroll) to complex (eg a gesture for a shortcut to a application, writing, elements of sign language) |